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Quality of Life Research

25-04-2025

Understanding data visualization techniques in qualitative studies used to develop and validate patient-reported outcome measures: a targeted literature review

Auteurs: Caroline Seo, Sophia Hu, Bellinda L. King-Kallimanis, Ashley E. Chang, Antoine Regnault, Amitai S. Miller, Manraj N. Kaur

Gepubliceerd in: Quality of Life Research

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Abstract

Purpose

Qualitative data that reflects patients’ experiences are the foundation of any patient-reported outcome measure (PROM) development and validation study; however, there is limited understanding of the type of data visualization techniques that facilitate communication of this data. The goal of this targeted literature review was to investigate data visualization methods that have been used in published PROM development and validation literature to report qualitative results.

Methods

A literature search in OVID via MEDLINE was conducted among the top 10 non-disease-specific journals publishing PROM qualitative development and validation studies. Studies that reported qualitative methods to develop/validate a PROM and included data visualization in the form of tables or figures were included. Article characteristics and data visualization types were extracted.

Results

A total of 185 articles were included in data extraction. Most articles (n = 109, 59.1%) included figures (n = 172, average 2 relevant figures per article) in the form of hierarchy/flowcharts (n = 124, 72.1%) and bar charts (n = 29, 16.9%). Information reported in figures included depiction of conceptual frameworks (n = 112, 65.1%) and concept frequency (n = 40, 24.4%). Most articles (n = 152, 81.7%) included tables (n = 307, average 2 relevant tables per article). Information reported in tables included concept frequency (n = 133, 43.3%) and cognitive debriefing and revisions (n = 91, 29.6%).

Conclusion

Data visualization techniques used to report qualitative results in the identified PROM qualitative development and validation studies were heterogeneous, and many studies did not utilize any data visualization techniques. This study will inform the development of guidance for using data visualizations to report qualitative PROM research.
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Metagegevens
Titel
Understanding data visualization techniques in qualitative studies used to develop and validate patient-reported outcome measures: a targeted literature review
Auteurs
Caroline Seo
Sophia Hu
Bellinda L. King-Kallimanis
Ashley E. Chang
Antoine Regnault
Amitai S. Miller
Manraj N. Kaur
Publicatiedatum
25-04-2025
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-025-03964-5